Office suites have long been perceived as stable tools, little prone to upheaval. However, the market has changed fundamentally since the massive integration of artificial intelligence functions into word processing, spreadsheet, and presentation software. At the same time, the European regulatory framework now requires companies to train their teams on these new usages. This context is changing the way organizations choose, deploy, and evaluate their office tools.
Mandatory AI Training: What the AI Act Changes for Office Tools
Since February 2, 2025, Article 4 of the European regulation on AI (AI Act) requires providers and deployers of AI systems to take measures to develop AI proficiency among their staff. No single training format is prescribed by the text, leaving room for interpretation by companies.
In practice, this obligation directly affects office tools. As soon as a spreadsheet offers predictive autocompletion, a word processor integrates a writing assistant, or a presentation software generates automatic layouts, the company deploying these functions must ensure that its employees understand what they are using.
The distinction between common usages (text summarization, rephrasing) and more sensitive usages (application sorting, automated scoring) is central. The latter fall under a more demanding regulatory framework, with application announced starting December 2, 2027, for certain systems classified as high risk. Identifying in advance which modules of an office tool fall into this category is now part of the deployment work.
A useful overview for comparing available software can be found among office solutions on The Web Brains, which lists several families of tools and their characteristics.
Adoption of Office AI: The Divide Between SMEs and Large Enterprises
Discussions about the democratization of AI in office tools mask a less uniform reality. Data cited by Origin Education reveals a 17% adoption rate in SMEs, compared to 58% in companies with at least 250 employees. This gap is not just a matter of budget.
Large organizations have IT teams capable of configuring assistants, testing integrations, and training users. SMEs, on the other hand, often find themselves facing software suites where AI functions are activated by default, without support or internal usage policies.
What Specifically Holds Back Smaller Structures
- The absence of a technical reference person capable of assessing the risks related to the data processed by the AI assistants integrated into office tools
- The cost of licenses that include AI functions, often offered in premium packages rather than in basic offers
- The lack of training tailored to concrete office usages, with existing offers focusing on marketing or development use cases
This divide raises questions about the relevance of comparisons that present office tools as equivalent regardless of the usage context. The same software does not produce the same results whether deployed in a team of five or five hundred.
Evaluating an Office Tool with AI: Beyond Time Savings
Most sales arguments highlight time savings. An assistant that drafts an email in seconds, a spreadsheet that suggests formulas, a presentation tool that structures slides automatically: the promises are real, but they are just one criterion among others.
Companies must also frame the usages and identify the risks. A writing assistant that rephrases an internal text does not raise the same questions as a tool that analyzes customer data to produce automatic summaries. The former relates to convenience, while the latter touches on regulatory compliance.
Often Overlooked Evaluation Criteria
The location of data processed by AI functions remains a frequent blind spot. When an office assistant sends the content of a document to a remote server for summarization, the question of storage and processing of this data arises, particularly for sectors subject to confidentiality obligations.
Algorithmic transparency is another point of attention. Understanding why a spreadsheet suggests one formula over another, or why a presentation tool selects certain data for a chart, helps avoid reasoning errors propagated by automation.
An effective office tool in 2026 will stand out as much for its functions as for the clarity of its operation.
Office Training and Excel Skills: A Foundation That Remains Central
The enthusiasm for AI assistants should not overshadow the fact that mastering classic functions remains the foundation of office productivity. Excel skills, managing structured data, the ability to build complex formulas, or automate tasks with macros are not replaced by AI. They are prerequisites.
An AI assistant that suggests a formula in a spreadsheet does not relieve the user of the need to understand what that formula does. Field feedback varies on this point: some teams report productivity gains thanks to autocompletion, while others observe a multiplication of errors not detected by users who validate suggestions without checking them.
Training in classic office tools conditions the effectiveness of the AI layers that overlay them. Investing in a writing assistant or a co-pilot without ensuring that employees master basic practices is akin to adding a floor to a building whose foundations have not been verified.
The framework set by the AI Act, the adoption gap between small and large structures, and the need to maintain solid office skills create a landscape where the choice of a tool can no longer be reduced to a list of features. The question is no longer just which software to use, but how the company organizes its usage.
